The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters

Autores
Bassini, L.; Rasia, E.; Borgani, S.; Granato, Luisa Graciana; Ragone Figueroa, Cinthia Judith; Biffi, V.; Ragagnin, A.; Dolag, K.; Lin, W.; Murante, G.; Napolitano, N.R.; Taffoni, G.; Tornatore, Marisa Alejandra; Wang, Y.
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We studied the star formation rate (SFR) in cosmological hydrodynamical simulations of galaxy (proto-)clusters in the redshift range 0 < z < 4, comparing them to recent observational studies; we also investigated the effect of varying the parameters of the star formation model on galaxy properties such as SFR, star-formation efficiency, and gas fraction. Methods. We analyse a set of zoom-in cosmological hydrodynamical simulations centred on 12 clusters. The simulations are carried out with the GADGET-3 Tree-PM smoothed-particle hydro-dynamics code which includes various subgrid models to treat unresolved baryonic physics, including AGN feedback. Results. Simulations do not reproduce the high values of SFR observed within protocluster cores, where the values of SFR are underpredicted by a factor ∼4 both at z ∼ 2 and z ∼ 4. The difference arises as simulations are unable to reproduce the observed starburst population and is greater at z ∼ 2 because simulations underpredict the normalisation of the main sequence (MS) of star forming galaxies (i.e. the correlation between stellar mass and SFR) by a factor of ∼3. As the low normalisation of the MS seems to be driven by an underestimated gas fraction, it remains unclear whether numerical simulations miss starburst galaxies due to overly underpredicted gas fractions or overly low star formation efficiencies. Our results are stable against varying several parameters of the star formation subgrid model and do not depend on the details of AGN feedback. Conclusions. The subgrid model for star formation, introduced to reproduce the self-regulated evolution of quiescent galaxies, is not suitable to describe violent events like high-redshift starbursts. We find that this conclusion holds, independently of the parameter choice for the star formation and AGN models. The increasing number of multi-wavelength high-redshift observations will help to improve the current star formation model, which is needed to fully recover the observed star formation history of galaxy clusters.
Fil: Bassini, L.. Osservatorio Astronomico Di Trieste; Italia. Università degli Studi di Trieste; Italia. Institute For Fundamental Physics Of The Universe; Italia
Fil: Rasia, E.. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia
Fil: Borgani, S.. Istituto Nazionale Di Fisica Nucleare, Sezione Di Trieste; Italia. Università degli Studi di Trieste; Italia. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia
Fil: Granato, Luisa Graciana. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Ragone Figueroa, Cinthia Judith. Osservatorio Astronomico Di Trieste; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Biffi, V.. Institute For Fundamental Physics Of The Universe; Italia. Ludwig Maximilians Universitat; Alemania
Fil: Ragagnin, A.. Osservatorio Astronomico Di Trieste; Italia
Fil: Dolag, K.. Ludwig Maximilians Universitat; Alemania
Fil: Lin, W.. Sun Yat-sen University; China
Fil: Murante, G.. Osservatorio Astronomico Di Trieste; Italia
Fil: Napolitano, N.R.. Sun Yat-sen University; China
Fil: Taffoni, G.. Osservatorio Astronomico Di Trieste; Italia
Fil: Tornatore, Marisa Alejandra. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia
Fil: Wang, Y.. Sun Yat-sen University; China
Materia
GALAXIES: CLUSTERS: GENERAL
GALAXIES: STAR FORMATION
GALAXIES: STARBURST
HYDRODYNAMICS
METHODS: NUMERICAL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/130373

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network_name_str CONICET Digital (CONICET)
spelling The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclustersBassini, L.Rasia, E.Borgani, S.Granato, Luisa GracianaRagone Figueroa, Cinthia JudithBiffi, V.Ragagnin, A.Dolag, K.Lin, W.Murante, G.Napolitano, N.R.Taffoni, G.Tornatore, Marisa AlejandraWang, Y.GALAXIES: CLUSTERS: GENERALGALAXIES: STAR FORMATIONGALAXIES: STARBURSTHYDRODYNAMICSMETHODS: NUMERICALhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1We studied the star formation rate (SFR) in cosmological hydrodynamical simulations of galaxy (proto-)clusters in the redshift range 0 < z < 4, comparing them to recent observational studies; we also investigated the effect of varying the parameters of the star formation model on galaxy properties such as SFR, star-formation efficiency, and gas fraction. Methods. We analyse a set of zoom-in cosmological hydrodynamical simulations centred on 12 clusters. The simulations are carried out with the GADGET-3 Tree-PM smoothed-particle hydro-dynamics code which includes various subgrid models to treat unresolved baryonic physics, including AGN feedback. Results. Simulations do not reproduce the high values of SFR observed within protocluster cores, where the values of SFR are underpredicted by a factor ∼4 both at z ∼ 2 and z ∼ 4. The difference arises as simulations are unable to reproduce the observed starburst population and is greater at z ∼ 2 because simulations underpredict the normalisation of the main sequence (MS) of star forming galaxies (i.e. the correlation between stellar mass and SFR) by a factor of ∼3. As the low normalisation of the MS seems to be driven by an underestimated gas fraction, it remains unclear whether numerical simulations miss starburst galaxies due to overly underpredicted gas fractions or overly low star formation efficiencies. Our results are stable against varying several parameters of the star formation subgrid model and do not depend on the details of AGN feedback. Conclusions. The subgrid model for star formation, introduced to reproduce the self-regulated evolution of quiescent galaxies, is not suitable to describe violent events like high-redshift starbursts. We find that this conclusion holds, independently of the parameter choice for the star formation and AGN models. The increasing number of multi-wavelength high-redshift observations will help to improve the current star formation model, which is needed to fully recover the observed star formation history of galaxy clusters.Fil: Bassini, L.. Osservatorio Astronomico Di Trieste; Italia. Università degli Studi di Trieste; Italia. Institute For Fundamental Physics Of The Universe; ItaliaFil: Rasia, E.. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; ItaliaFil: Borgani, S.. Istituto Nazionale Di Fisica Nucleare, Sezione Di Trieste; Italia. Università degli Studi di Trieste; Italia. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; ItaliaFil: Granato, Luisa Graciana. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Ragone Figueroa, Cinthia Judith. Osservatorio Astronomico Di Trieste; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Biffi, V.. Institute For Fundamental Physics Of The Universe; Italia. Ludwig Maximilians Universitat; AlemaniaFil: Ragagnin, A.. Osservatorio Astronomico Di Trieste; ItaliaFil: Dolag, K.. Ludwig Maximilians Universitat; AlemaniaFil: Lin, W.. Sun Yat-sen University; ChinaFil: Murante, G.. Osservatorio Astronomico Di Trieste; ItaliaFil: Napolitano, N.R.. Sun Yat-sen University; ChinaFil: Taffoni, G.. Osservatorio Astronomico Di Trieste; ItaliaFil: Tornatore, Marisa Alejandra. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; ItaliaFil: Wang, Y.. Sun Yat-sen University; ChinaEDP Sciences2020-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/130373Bassini, L.; Rasia, E.; Borgani, S.; Granato, Luisa Graciana; Ragone Figueroa, Cinthia Judith; et al.; The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters; EDP Sciences; Astronomy and Astrophysics; 642; A37; 10-2020; 1-190004-6361CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1051/0004-6361/202038396info:eu-repo/semantics/altIdentifier/url/https://ui.adsabs.harvard.edu/abs/2020A%26A...642A..37B/abstractinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-26T08:57:40Zoai:ri.conicet.gov.ar:11336/130373instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-26 08:57:40.648CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters
title The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters
spellingShingle The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters
Bassini, L.
GALAXIES: CLUSTERS: GENERAL
GALAXIES: STAR FORMATION
GALAXIES: STARBURST
HYDRODYNAMICS
METHODS: NUMERICAL
title_short The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters
title_full The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters
title_fullStr The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters
title_full_unstemmed The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters
title_sort The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters
dc.creator.none.fl_str_mv Bassini, L.
Rasia, E.
Borgani, S.
Granato, Luisa Graciana
Ragone Figueroa, Cinthia Judith
Biffi, V.
Ragagnin, A.
Dolag, K.
Lin, W.
Murante, G.
Napolitano, N.R.
Taffoni, G.
Tornatore, Marisa Alejandra
Wang, Y.
author Bassini, L.
author_facet Bassini, L.
Rasia, E.
Borgani, S.
Granato, Luisa Graciana
Ragone Figueroa, Cinthia Judith
Biffi, V.
Ragagnin, A.
Dolag, K.
Lin, W.
Murante, G.
Napolitano, N.R.
Taffoni, G.
Tornatore, Marisa Alejandra
Wang, Y.
author_role author
author2 Rasia, E.
Borgani, S.
Granato, Luisa Graciana
Ragone Figueroa, Cinthia Judith
Biffi, V.
Ragagnin, A.
Dolag, K.
Lin, W.
Murante, G.
Napolitano, N.R.
Taffoni, G.
Tornatore, Marisa Alejandra
Wang, Y.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv GALAXIES: CLUSTERS: GENERAL
GALAXIES: STAR FORMATION
GALAXIES: STARBURST
HYDRODYNAMICS
METHODS: NUMERICAL
topic GALAXIES: CLUSTERS: GENERAL
GALAXIES: STAR FORMATION
GALAXIES: STARBURST
HYDRODYNAMICS
METHODS: NUMERICAL
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We studied the star formation rate (SFR) in cosmological hydrodynamical simulations of galaxy (proto-)clusters in the redshift range 0 < z < 4, comparing them to recent observational studies; we also investigated the effect of varying the parameters of the star formation model on galaxy properties such as SFR, star-formation efficiency, and gas fraction. Methods. We analyse a set of zoom-in cosmological hydrodynamical simulations centred on 12 clusters. The simulations are carried out with the GADGET-3 Tree-PM smoothed-particle hydro-dynamics code which includes various subgrid models to treat unresolved baryonic physics, including AGN feedback. Results. Simulations do not reproduce the high values of SFR observed within protocluster cores, where the values of SFR are underpredicted by a factor ∼4 both at z ∼ 2 and z ∼ 4. The difference arises as simulations are unable to reproduce the observed starburst population and is greater at z ∼ 2 because simulations underpredict the normalisation of the main sequence (MS) of star forming galaxies (i.e. the correlation between stellar mass and SFR) by a factor of ∼3. As the low normalisation of the MS seems to be driven by an underestimated gas fraction, it remains unclear whether numerical simulations miss starburst galaxies due to overly underpredicted gas fractions or overly low star formation efficiencies. Our results are stable against varying several parameters of the star formation subgrid model and do not depend on the details of AGN feedback. Conclusions. The subgrid model for star formation, introduced to reproduce the self-regulated evolution of quiescent galaxies, is not suitable to describe violent events like high-redshift starbursts. We find that this conclusion holds, independently of the parameter choice for the star formation and AGN models. The increasing number of multi-wavelength high-redshift observations will help to improve the current star formation model, which is needed to fully recover the observed star formation history of galaxy clusters.
Fil: Bassini, L.. Osservatorio Astronomico Di Trieste; Italia. Università degli Studi di Trieste; Italia. Institute For Fundamental Physics Of The Universe; Italia
Fil: Rasia, E.. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia
Fil: Borgani, S.. Istituto Nazionale Di Fisica Nucleare, Sezione Di Trieste; Italia. Università degli Studi di Trieste; Italia. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia
Fil: Granato, Luisa Graciana. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Ragone Figueroa, Cinthia Judith. Osservatorio Astronomico Di Trieste; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Biffi, V.. Institute For Fundamental Physics Of The Universe; Italia. Ludwig Maximilians Universitat; Alemania
Fil: Ragagnin, A.. Osservatorio Astronomico Di Trieste; Italia
Fil: Dolag, K.. Ludwig Maximilians Universitat; Alemania
Fil: Lin, W.. Sun Yat-sen University; China
Fil: Murante, G.. Osservatorio Astronomico Di Trieste; Italia
Fil: Napolitano, N.R.. Sun Yat-sen University; China
Fil: Taffoni, G.. Osservatorio Astronomico Di Trieste; Italia
Fil: Tornatore, Marisa Alejandra. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia
Fil: Wang, Y.. Sun Yat-sen University; China
description We studied the star formation rate (SFR) in cosmological hydrodynamical simulations of galaxy (proto-)clusters in the redshift range 0 < z < 4, comparing them to recent observational studies; we also investigated the effect of varying the parameters of the star formation model on galaxy properties such as SFR, star-formation efficiency, and gas fraction. Methods. We analyse a set of zoom-in cosmological hydrodynamical simulations centred on 12 clusters. The simulations are carried out with the GADGET-3 Tree-PM smoothed-particle hydro-dynamics code which includes various subgrid models to treat unresolved baryonic physics, including AGN feedback. Results. Simulations do not reproduce the high values of SFR observed within protocluster cores, where the values of SFR are underpredicted by a factor ∼4 both at z ∼ 2 and z ∼ 4. The difference arises as simulations are unable to reproduce the observed starburst population and is greater at z ∼ 2 because simulations underpredict the normalisation of the main sequence (MS) of star forming galaxies (i.e. the correlation between stellar mass and SFR) by a factor of ∼3. As the low normalisation of the MS seems to be driven by an underestimated gas fraction, it remains unclear whether numerical simulations miss starburst galaxies due to overly underpredicted gas fractions or overly low star formation efficiencies. Our results are stable against varying several parameters of the star formation subgrid model and do not depend on the details of AGN feedback. Conclusions. The subgrid model for star formation, introduced to reproduce the self-regulated evolution of quiescent galaxies, is not suitable to describe violent events like high-redshift starbursts. We find that this conclusion holds, independently of the parameter choice for the star formation and AGN models. The increasing number of multi-wavelength high-redshift observations will help to improve the current star formation model, which is needed to fully recover the observed star formation history of galaxy clusters.
publishDate 2020
dc.date.none.fl_str_mv 2020-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/130373
Bassini, L.; Rasia, E.; Borgani, S.; Granato, Luisa Graciana; Ragone Figueroa, Cinthia Judith; et al.; The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters; EDP Sciences; Astronomy and Astrophysics; 642; A37; 10-2020; 1-19
0004-6361
CONICET Digital
CONICET
url http://hdl.handle.net/11336/130373
identifier_str_mv Bassini, L.; Rasia, E.; Borgani, S.; Granato, Luisa Graciana; Ragone Figueroa, Cinthia Judith; et al.; The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters; EDP Sciences; Astronomy and Astrophysics; 642; A37; 10-2020; 1-19
0004-6361
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1051/0004-6361/202038396
info:eu-repo/semantics/altIdentifier/url/https://ui.adsabs.harvard.edu/abs/2020A%26A...642A..37B/abstract
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv EDP Sciences
publisher.none.fl_str_mv EDP Sciences
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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